{"id":"W4392355663","doi":"10.3390/v16030389","title":"Ongoing Gaps in the Hepatitis C Care Cascade during the Direct-Acting Antiviral Era in a Large Retrospective Cohort in Canada: A Population-Based Study","year":2024,"lang":"en","type":"article","venue":"Viruses","topic":"Hepatitis C virus research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Public Health Ontario; Toronto General Hospital; University Health Network; University of Toronto; McGill University Health Centre; Institut National de Santé Publique du Québec; Centre Hospitalier de l’Université de Montréal; McGill University; Jewish General Hospital","funders":"Department of Family and Community Medicine, University of Toronto; Canadian Institutes of Health Research; Fonds de recherche du Québec; Public Health Agency of Canada","keywords":"Medicine; Hazard ratio; Cohort; Hepatitis C virus; Internal medicine; Retrospective cohort study; Population; Cohort study; RNA; Hepatitis C; Proportional hazards model; Virology; Virus; Confidence interval; Biology; Environmental health; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008556656,0.0001795942,0.0003575172,0.0003784038,0.0001459955,0.00008941251,0.0001720987,0.00005206062,0.00006935961],"category_scores_gemma":[0.0007370117,0.000122377,0.00004562302,0.00134531,0.00002049711,0.0001559539,0.00006405344,0.0009114494,0.000008340534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003352103,"about_ca_system_score_gemma":0.001186645,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9745997,"about_ca_topic_score_gemma":0.997803,"domain_scores_codex":[0.9974061,0.0005006501,0.0004065083,0.000404741,0.0007796583,0.0005023769],"domain_scores_gemma":[0.9990104,0.0005252438,0.00004247575,0.0003313024,0.00004733532,0.0000432704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004427617,0.00007948865,0.9893388,0.0001077226,0.00002841422,0.001951888,0.006984913,0.00006314374,0.0001081236,0.000008348941,0.00003356201,0.001251306],"study_design_scores_gemma":[0.0008059258,0.00006698225,0.991343,0.000494499,0.00001514192,0.000002014374,0.0049001,0.001528786,0.0003119613,0.000002298269,0.0004031633,0.0001261938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952576,0.0008175237,7.503731e-7,0.0002980044,0.0001138287,0.001513327,0.00009344083,0.00003970213,0.001865795],"genre_scores_gemma":[0.9990398,0.00005367838,0.000007851089,0.0004773357,0.00008982273,0.0002620733,0.0000154683,0.00003766435,0.00001625287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02320322,"threshold_uncertainty_score":0.8765633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01838329154467164,"score_gpt":0.3149733621303591,"score_spread":0.2965900705856875,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}